{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,12]],"date-time":"2026-06-12T13:42:47Z","timestamp":1781271767721,"version":"3.54.1"},"reference-count":55,"publisher":"Springer Science and Business Media LLC","issue":"4","license":[{"start":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T00:00:00Z","timestamp":1689206400000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"},{"start":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T00:00:00Z","timestamp":1689206400000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springernature.com\/gp\/researchers\/text-and-data-mining"}],"funder":[{"name":"Winter Olympics Key Project Technology Fund","award":["2018YFF0300804"],"award-info":[{"award-number":["2018YFF0300804"]}]}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":["Vis Comput"],"published-print":{"date-parts":[[2024,4]]},"DOI":"10.1007\/s00371-023-02917-8","type":"journal-article","created":{"date-parts":[[2023,7,13]],"date-time":"2023-07-13T14:02:10Z","timestamp":1689256930000},"page":"2293-2307","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":30,"title":["MFAF-Net: image dehazing with multi-level features and adaptive fusion"],"prefix":"10.1007","volume":"40","author":[{"given":"Weichao","family":"Yi","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Liquan","family":"Dong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Ming","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Mei","family":"Hui","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Lingqin","family":"Kong","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuejin","family":"Zhao","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"297","published-online":{"date-parts":[[2023,7,13]]},"reference":[{"key":"2917_CR1","unstructured":"Redmon, J., Farhadi, A.: Yolov3: an incremental improvement. arXiv:1804.02767 (2018)"},{"issue":"99","key":"2917_CR2","first-page":"1","volume":"PP","author":"C Chen","year":"2021","unstructured":"Chen, C., Wang, G., Peng, C., Fang, Y., Qin, H.: Exploring rich and efficient spatial temporal interactions for real-time video salient object detection. IEEE Trans. Image Process. PP(99), 1\u20131 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"2917_CR3","first-page":"1","volume":"38","author":"DK Das","year":"2021","unstructured":"Das, D.K., Shit, S., Ray, D.N., Majumder, S.: CGAN: closure-guided attention network for salient object detection. Vis. Comput. 38, 1\u201315 (2021)","journal-title":"Vis. Comput."},{"issue":"99","key":"2917_CR4","first-page":"1","volume":"PP","author":"J Li","year":"2020","unstructured":"Li, J., Zhang, S., Huang, T.: Multi-scale temporal cues learning for video person re-identification. IEEE Trans. Image Process. PP(99), 1\u20131 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"2917_CR5","first-page":"1","volume":"10","author":"J Xie","year":"2021","unstructured":"Xie, J., Ge, Y., Zhang, J., Huang, S., Wang, H.: Low-resolution assisted three-stream network for person re-identification. Vis. Comput. 10, 1\u201311 (2021)","journal-title":"Vis. Comput."},{"key":"2917_CR6","first-page":"1","volume":"39","author":"Z Jia","year":"2022","unstructured":"Jia, Z., Li, Y., Tan, Z., Wang, W., Wang, Z., Yin, G.: Domain-invariant feature extraction and fusion for cross-domain person re-identification. Vis. Comput. 39, 1\u201312 (2022)","journal-title":"Vis. Comput."},{"key":"2917_CR7","unstructured":"McCartney, E.J.: Optics of the atmosphere: scattering by molecules and particles. nyjw (1976)"},{"key":"2917_CR8","unstructured":"Narasimhan, S.G., Nayar, S.K.: Chromatic framework for vision in bad weather. In: IEEE Computer Society Conference on Computer Vision & Pattern Recognition (2000)"},{"issue":"3","key":"2917_CR9","doi-asserted-by":"publisher","first-page":"233","DOI":"10.1023\/A:1016328200723","volume":"48","author":"SG Narasimhan","year":"2002","unstructured":"Narasimhan, S.G., Nayar, S.K.: Vision and the atmosphere. Int. J. Comput. Vis. 48(3), 233\u2013254 (2002)","journal-title":"Int. J. Comput. Vis."},{"issue":"12","key":"2917_CR10","doi-asserted-by":"publisher","first-page":"2341","DOI":"10.1109\/TPAMI.2010.168","volume":"33","author":"K He","year":"2011","unstructured":"He, K., Sun, J., Fellow, I.E.E.E., Tang, X.: Single image haze removal using dark channel prior. IEEE Trans. Pattern Anal. Mach. Intell. 33(12), 2341\u20132353 (2011)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"issue":"11","key":"2917_CR11","doi-asserted-by":"publisher","first-page":"3522","DOI":"10.1109\/TIP.2015.2446191","volume":"24","author":"Q Zhu","year":"2015","unstructured":"Zhu, Q., Mai, J., Shao, L.: A fast single image haze removal algorithm using color attenuation prior. IEEE Trans. Image Process. 24(11), 3522\u20133533 (2015)","journal-title":"IEEE Trans. Image Process."},{"key":"2917_CR12","doi-asserted-by":"crossref","unstructured":"Berman, D., Treibitz, T., Avidan, S.: Non-local image dehazing. In: 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2016)","DOI":"10.1109\/CVPR.2016.185"},{"issue":"11","key":"2917_CR13","doi-asserted-by":"publisher","first-page":"5187","DOI":"10.1109\/TIP.2016.2598681","volume":"25","author":"B Cai","year":"2016","unstructured":"Cai, B., Xu, X., Jia, K., Qing, C., Tao, D.: Dehazenet: an end-to-end system for single image haze removal. IEEE Trans. Image Process. 25(11), 5187\u20135198 (2016)","journal-title":"IEEE Trans. Image Process."},{"key":"2917_CR14","doi-asserted-by":"crossref","unstructured":"Zhang, H., Patel, V.M.: Densely connected pyramid dehazing network (2018)","DOI":"10.1109\/CVPR.2018.00337"},{"key":"2917_CR15","doi-asserted-by":"crossref","unstructured":"Ren, W., Ma, L., Zhang, J., Pan, J., Cao, X., Liu, W., Yang, M.H.: Gated fusion network for single image dehazing (2018)","DOI":"10.1109\/CVPR.2018.00343"},{"key":"2917_CR16","doi-asserted-by":"crossref","unstructured":"Ren, W., Liu, S., Zhang, H., Pan, J., Cao, X., Yang, M.H.: Single image dehazing via multi-scale convolutional neural networks (2016)","DOI":"10.1007\/978-3-319-46475-6_10"},{"issue":"3","key":"2917_CR17","first-page":"1797","volume":"36","author":"S Zhang","year":"2019","unstructured":"Zhang, S., He, F.: DRCDN: learning deep residual convolutional dehazing networks. Vis. Comput. 36(3), 1797\u20131808 (2019)","journal-title":"Vis. Comput."},{"key":"2917_CR18","first-page":"1","volume":"11","author":"F Yang","year":"2021","unstructured":"Yang, F., Zhang, Q.: Depth aware image dehazing. Vis. Comput. 11, 1\u20139 (2021)","journal-title":"Vis. Comput."},{"key":"2917_CR19","doi-asserted-by":"publisher","first-page":"663","DOI":"10.1007\/s00371-021-02365-2","volume":"39","author":"X Li","year":"2022","unstructured":"Li, X., Hua, Z., Li, J.: Attention-based adaptive feature selection for multi-stage image dehazing. Vis. Comput. 39, 663\u2013678 (2022)","journal-title":"Vis. Comput."},{"key":"2917_CR20","first-page":"1","volume":"39","author":"S Zhang","year":"2022","unstructured":"Zhang, S., Zhang, J., He, F., Hou, N.: DRDDN: dense residual and dilated dehazing network. Vis. Comput. 39, 1\u201317 (2022)","journal-title":"Vis. Comput."},{"key":"2917_CR21","doi-asserted-by":"crossref","unstructured":"Xie, B., Guo, F., Cai, Z.: Improved single image dehazing using dark channel prior and multi-scale retinex. In: International Conference on Intelligent System Design & Engineering Application (2010)","DOI":"10.1109\/ISDEA.2010.141"},{"issue":"8","key":"2917_CR22","doi-asserted-by":"publisher","first-page":"4276","DOI":"10.1007\/s10489-019-01504-6","volume":"49","author":"D Singh","year":"2019","unstructured":"Singh, D., Kumar, V., Kaur, M.: Single image dehazing using gradient channel prior. Appl. Intell. 49(8), 4276\u20134293 (2019)","journal-title":"Appl. Intell."},{"key":"2917_CR23","first-page":"1","volume":"39","author":"Q Hu","year":"2022","unstructured":"Hu, Q., Zhang, Y., Zhu, Y., Jiang, Y., Song, M.: Single image dehazing algorithm based on sky segmentation and optimal transmission maps. Vis. Comput. 39, 1\u201317 (2022)","journal-title":"Vis. Comput."},{"key":"2917_CR24","doi-asserted-by":"crossref","unstructured":"Huang, T., Li, S., Jia, X., Lu, H., Liu, J.: Neighbor2neighbor: self-supervised denoising from single noisy images (2021)","DOI":"10.1109\/CVPR46437.2021.01454"},{"issue":"9","key":"2917_CR25","first-page":"1","volume":"2021","author":"K Khongkraphan","year":"2021","unstructured":"Khongkraphan, K., Phonon, A., Nuiphom, S.: An efficient blind image deblurring using a smoothing function. Appl. Comput. Intell. Soft Comput. 2021(9), 1\u201310 (2021)","journal-title":"Appl. Comput. Intell. Soft Comput."},{"key":"2917_CR26","doi-asserted-by":"publisher","first-page":"5822","DOI":"10.1007\/s10489-020-02056-w","volume":"51","author":"W Fan","year":"2021","unstructured":"Fan, W., Wu, Y., Wang, C.: Single image rain streak removal via layer similarity prior. Appl Intell 51, 5822\u20135835 (2021)","journal-title":"Appl Intell"},{"issue":"99","key":"2917_CR27","first-page":"1","volume":"PP","author":"W Yang","year":"2020","unstructured":"Yang, W., Tan, R.T., Wang, S., Fang, Y., Liu, J.: Single image deraining: from model-based to data-driven and beyond. IEEE Trans. Pattern Anal. Mach. Intell. PP(99), 1\u20131 (2020)","journal-title":"IEEE Trans. Pattern Anal. Mach. Intell."},{"key":"2917_CR28","doi-asserted-by":"crossref","unstructured":"Li, B., Peng, X., Wang, Z., Xu, J., Dan, F.: Aod-net: all-in-one dehazing network. In: 2017 IEEE International Conference on Computer Vision (ICCV) (2017)","DOI":"10.1109\/ICCV.2017.511"},{"key":"2917_CR29","doi-asserted-by":"crossref","unstructured":"Ronneberger, O., Fischer, P., Brox, T.: U-net: convolutional networks for biomedical image segmentation. In: International Conference on Medical Image Computing and Computer-Assisted Intervention, pp. 234\u2013241. Springer, Berlin (2015)","DOI":"10.1007\/978-3-319-24574-4_28"},{"key":"2917_CR30","doi-asserted-by":"crossref","unstructured":"Chen, D., He, M., Fan, Q., Liao, J., Zhang, L., Hou, D., Yuan, L., Hua, G.: Gated context aggregation network for image dehazing and deraining. In: 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), pp. 1375\u20131383. IEEE (2019)","DOI":"10.1109\/WACV.2019.00151"},{"key":"2917_CR31","unstructured":"Ancuti, C.O., Ancuti, C., Vasluianu, F.A., Timofte, R.: Ntire 2020 challenge on nonhomogeneous dehazing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 490\u2013491 (2020)"},{"key":"2917_CR32","unstructured":"Ancuti, C.O., Ancuti, C., Vasluianu, F.A., Timofte, R.: Ntire 2021 nonhomogeneous dehazing challenge report. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition, pp. 627\u2013646 (2021)"},{"key":"2917_CR33","doi-asserted-by":"crossref","unstructured":"Das, S.D., Dutta, S.: Fast deep multi-patch hierarchical network for nonhomogeneous image dehazing. In: Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops, pp. 482\u2013483 (2020)","DOI":"10.1109\/CVPRW50498.2020.00249"},{"key":"2917_CR34","doi-asserted-by":"crossref","unstructured":"Engin, D., Gen, A., Ekenel, H.K.: Cycle-dehaze: enhanced cyclegan for single image dehazing. IEEE (2018)","DOI":"10.1109\/CVPRW.2018.00127"},{"key":"2917_CR35","doi-asserted-by":"publisher","first-page":"2766","DOI":"10.1109\/TIP.2019.2952690","volume":"29","author":"L Li","year":"2020","unstructured":"Li, L., Dong, Y., Ren, W., Pan, J., Gao, C., Sang, N., Yang, M.H.: Semi-supervised image dehazing. IEEE Trans. Image Process. 29, 2766\u20132779 (2020)","journal-title":"IEEE Trans. Image Process."},{"key":"2917_CR36","doi-asserted-by":"crossref","unstructured":"Qin, X., Wang, Z., Bai, Y., Xie, X., Jia, H.: Ffa-net: feature fusion attention network for single image dehazing (2019)","DOI":"10.1609\/aaai.v34i07.6865"},{"issue":"5","key":"2917_CR37","doi-asserted-by":"publisher","first-page":"1437","DOI":"10.1007\/s10489-019-01567-5","volume":"50","author":"C Wang","year":"2020","unstructured":"Wang, C., Wu, Y., Cai, Y., Yao, G., Su, Z., Wang, H.: Single image deraining via deep pyramid network with spatial contextual information aggregation. Appl. Intell. 50(5), 1437\u20131447 (2020)","journal-title":"Appl. Intell."},{"key":"2917_CR38","unstructured":"Yu, F., Koltun, V.: Multi-scale context aggregation by dilated convolutions. In: ICLR (2016)"},{"key":"2917_CR39","doi-asserted-by":"crossref","unstructured":"Lin, T.Y., Dollar, P., Girshick, R., He, K., Hariharan, B., Belongie, S.: Feature pyramid networks for object detection. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)","DOI":"10.1109\/CVPR.2017.106"},{"key":"2917_CR40","doi-asserted-by":"publisher","first-page":"600","DOI":"10.1109\/TIP.2003.819861","volume":"13","author":"Z Wang","year":"2004","unstructured":"Wang, Z.: Image quality assessment: from error visibility to structural similarity. IEEE Trans. Image Process. 13, 600\u2013612 (2004)","journal-title":"IEEE Trans. Image Process."},{"key":"2917_CR41","doi-asserted-by":"crossref","unstructured":"Qu, Y., Chen, Y., Huang, J., Xie, Y.: Enhanced pix2pix dehazing network. In: 2019 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2019)","DOI":"10.1109\/CVPR.2019.00835"},{"key":"2917_CR42","doi-asserted-by":"publisher","DOI":"10.1016\/j.cviu.2020.103003","volume":"197\u2013198","author":"X Zhang","year":"2020","unstructured":"Zhang, X., Wang, T., Wang, J., Tang, G., Zhao, L.: Pyramid channel-based feature attention network for image dehazing. Comput. Vis. Image Underst. 197\u2013198, 103003 (2020)","journal-title":"Comput. Vis. Image Underst."},{"key":"2917_CR43","doi-asserted-by":"crossref","unstructured":"Dong, Y., Liu, Y., Zhang, H., Chen, S., Qiao, Y.: FD-GAN: generative adversarial networks with fusion-discriminator for single image dehazing. In: Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34, no. 7, pp. 10729\u201310736 (2020)","DOI":"10.1609\/aaai.v34i07.6701"},{"key":"2917_CR44","doi-asserted-by":"crossref","unstructured":"Shao, Y., Li, L., Ren, W., Gao, C., Sang, N.: Domain adaptation for image dehazing. In: 2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (2020)","DOI":"10.1109\/CVPR42600.2020.00288"},{"key":"2917_CR45","doi-asserted-by":"publisher","first-page":"8968","DOI":"10.1109\/TIP.2021.3116790","volume":"30","author":"H Ullah","year":"2021","unstructured":"Ullah, H., Muhammad, K., Irfan, M., Anwar, S., Sajjad, M., Imran, A.S., de Albuquerque, V.H.C.: Light-DehazeNet: a novel lightweight CNN architecture for single image dehazing. IEEE Trans. Image Process. 30, 8968\u20138982 (2021)","journal-title":"IEEE Trans. Image Process."},{"key":"2917_CR46","doi-asserted-by":"crossref","unstructured":"Liu, X., Ma, Y., Shi, Z., Chen, J.: GridDehazeNet: attention-based multi-scale network for image dehazing. In: Proceedings of the IEEE International Conference on Computer Vision, pp. 7314\u20137323 (2019)","DOI":"10.1109\/ICCV.2019.00741"},{"key":"2917_CR47","doi-asserted-by":"publisher","first-page":"492","DOI":"10.1109\/TIP.2018.2867951","volume":"28","author":"B Li","year":"2018","unstructured":"Li, B., Ren, W., Fu, D., Tao, D., Feng, D., Zeng, W., Wang, Z.: Benchmarking single-image dehazing and beyond. IEEE Trans. Image Process. 28, 492\u2013505 (2018)","journal-title":"IEEE Trans. Image Process."},{"key":"2917_CR48","doi-asserted-by":"crossref","unstructured":"Ancuti, C., Ancuti, C.O., Timofte, R., Vleeschouwer, C.D.: I-haze: a dehazing benchmark with real hazy and haze-free indoor images. In: International Conference on Advanced Concepts for Intelligent Vision Systems, pp. 620\u2013631. Springer (2018)","DOI":"10.1007\/978-3-030-01449-0_52"},{"key":"2917_CR49","doi-asserted-by":"crossref","unstructured":"Ancuti, C.O., Ancuti, C., Timofte, R., De\u00a0Vleeschouwer, C.: O-haze: a dehazing benchmark with real hazy and haze-free outdoor images. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, pp. 754\u2013762 (2018)","DOI":"10.1109\/CVPRW.2018.00119"},{"issue":"13","key":"2917_CR50","doi-asserted-by":"publisher","first-page":"800","DOI":"10.1049\/el:20080522","volume":"44","author":"Q Huynh-Thu","year":"2008","unstructured":"Huynh-Thu, Q., Ghanbari, M.: Scope of validity of PSNR in image\/video quality assessment. Electron. Lett. 44(13), 800\u2013801 (2008)","journal-title":"Electron. Lett."},{"key":"2917_CR51","doi-asserted-by":"crossref","unstructured":"Blau, Y., Mechrez, R., Timofte, R., Michaeli, T., Zelnik-Manor, L.: The 2018 PIRM challenge on perceptual image super-resolution. In: Proceedings of the European Conference on Computer Vision (ECCV) Workshops, pp. 0\u20130 (2018)","DOI":"10.1007\/978-3-030-11021-5_21"},{"key":"2917_CR52","doi-asserted-by":"crossref","unstructured":"He, K., Zhang, X., Ren, S., Sun, J.: Deep residual learning for image recognition. In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, pp. 770\u2013778 (2016)","DOI":"10.1109\/CVPR.2016.90"},{"key":"2917_CR53","unstructured":"Fu, J., Xu, J., Tasaka, K., Chen, Z.: Residual squeeze-and-excitation network for fast image deraining. arXiv:2006.00757 (2020)"},{"issue":"3","key":"2917_CR54","doi-asserted-by":"publisher","first-page":"2932","DOI":"10.1007\/s10489-020-01693-5","volume":"50","author":"C Wang","year":"2020","unstructured":"Wang, C., Fan, W., Zhu, H., Su, Z.: Single image deraining via nonlocal squeeze-and-excitation enhancing network. Appl. Intell. 50(3), 2932\u20132944 (2020)","journal-title":"Appl. Intell."},{"key":"2917_CR55","volume-title":"Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining","author":"L Xia","year":"2018","unstructured":"Xia, L., Wu, J., Lin, Z., Hong, L., Zha, H.: Recurrent Squeeze-and-Excitation Context Aggregation Net for Single Image Deraining. Springer, Cham (2018)"}],"container-title":["The Visual Computer"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02917-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/article\/10.1007\/s00371-023-02917-8\/fulltext.html","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/s00371-023-02917-8.pdf","content-type":"application\/pdf","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,4,5]],"date-time":"2024-04-05T17:10:06Z","timestamp":1712337006000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/s00371-023-02917-8"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,7,13]]},"references-count":55,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2024,4]]}},"alternative-id":["2917"],"URL":"https:\/\/doi.org\/10.1007\/s00371-023-02917-8","relation":{},"ISSN":["0178-2789","1432-2315"],"issn-type":[{"value":"0178-2789","type":"print"},{"value":"1432-2315","type":"electronic"}],"subject":[],"published":{"date-parts":[[2023,7,13]]},"assertion":[{"value":"28 May 2023","order":1,"name":"accepted","label":"Accepted","group":{"name":"ArticleHistory","label":"Article History"}},{"value":"13 July 2023","order":2,"name":"first_online","label":"First Online","group":{"name":"ArticleHistory","label":"Article History"}},{"order":1,"name":"Ethics","group":{"name":"EthicsHeading","label":"Declarations"}},{"value":"The authors declare that they have no conflict of interest.","order":2,"name":"Ethics","group":{"name":"EthicsHeading","label":"Conflict of interest"}}]}}